Applying Machine Learning To Accelerate TCAD Calibration


TCAD models are the fundamental building blocks for the semiconductor industry. Whether it is a new process node or a new multi-billion dollar fab, accurate TCAD models must be developed and calibrated before they can be deployed in technology development. While TCAD models have been around for (many) decades, their complexity is growing exponentially, as is the demands placed on the R&D en... » read more

Accelerating Semiconductor Process Development Using Virtual Design Of Experiments


Design of Experiments (DOE) are a powerful concept in semiconductor engineering research and development. DOEs are sets of experiments used to explore the sensitivity of experimental variables and their effect on final device performance. A well-designed DOE can help an engineer achieve a targeted semiconductor device performance using a limited number of experimental wafer runs. However, in se... » read more